Postdoctoral Position “Data Science in Heterogeneous Catalysis”




The Department of Chemical and Biomolecular Engineering at the University of Houston announces an open postdoctoral position in the group. The project involves the application of data science and statistical tools to diverse data sets collected for a wide variety of heterogenous catalysts. Missing data will be extracted from ab initio calculations using VASP. The successful applicant will use existing machine learning toolboxes (e.g. TensorFlow, scikit-learn) and develop python codes for data processing, database optimization, multivariate regression, classification, neural network modeling and other advanced algorithms. The model output is expected to guide the future development of heterogeneous catalysts, such that a good understanding of chemistry, physical chemistry, material science or heterogeneous catalysis is required. The project is supported by an international industrial sponsor and strong oral and written english communication skills are expected. The successful candidate will hold a PhD degree in Computer Science, (Applied) Mathematics, Statistics, Chemical Engineering, Chemistry, Physics, Materials Science or related areas and have experience with complex data science projects. Knowledge of electronic structure simulations codes (e.g. VASP) is an advantage. The position is open immediately and will be filled as soon as a suitable candidate is identified. The initial appointment is for one year with possible extension. Interested candidates should send a CV with a list of publications and summary of research interests, achievements and plans to Dr. Lars Grabow.


 


The University of Houston is an Equal Opportunity / Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation, gender identity or gender expression.